Evidence map›Paper›PMID 42261746›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2026

Obesity, Employment, and Economic Productivity in Europe: A Systematic Literature Review.

Lise Meinicke Hagelund, Amy Gamble, Alexandra Furber, Patrice Carter

Abstract readSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lise Meinicke HagelundNovo Nordisk Denmark A/S, Copenhagen, Denmark.
Amy GambleHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Alexandra FurberHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Patrice CarterHealth Economics and Outcomes Research Ltd, Cardiff, UK.

Funding

Novo Nordisk
6 · The paper itself

Abstract

introductionThe economic burden that obesity places on society, both directly and indirectly, is considerable. It is acknowledged that obesity is associated with decreased economic productivity; however, the evidence examining the exact relationship between obesity and key metrics of employment in the European context remains to be consolidated.

methodsA systematic literature review was performed to determine the association between body mass index (BMI) and employment outcomes. Searches were conducted across three electronic databases (MEDLINE, Embase, and Epistemonikos). Studies were eligible if they were published in or after 2014 and conducted in a European setting.

resultsIn total, 34 studies were identified; of these, 20 studies provided evidence to show fewer people with obesity were employed as compared to people with overweight or who had a healthy BMI. Obesity was associated with increased sickness absence (n = 7) and impaired work performance (n = 7).

conclusionBroad evidence collected from across Europe demonstrates that obesity is associated with unemployment, sickness leave, absenteeism, and presenteeism. Preventing and treating obesity would be expected to have a relatively rapid benefit in terms of improved employment outcomes, including productivity, as well as long-term benefits to population health.

Indexed as

EfficiencyEmploymentObesityAbsenteeismBody Mass IndexEuropeHumansPresenteeismSick Leaveabsenteeismbody mass indexemploymentobesityoverweightpresenteeismunemployment

Identifiers

PMID42261746
PMCPMC13460541

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.